Channel Measurement And Study On Characteristics Of Building Penetration And Indoor Human Motion

In recent years,the development of mobile communication systems has become faster and faster.The wireless mobile communication service has been more widely developed and continues their exponential with their loxw cost and high speed.The advent of the fifth generation(5G)mobile systems has created an unprecedented rate of increase in wireless services.The scenarios of 5G technologies will become more and more extensive in the future.Ultra-high-definition video live broadcast,telemedicine rescue,smart home and other scenarios will be the key development scenarios for the future 5G.In the planning and resear-ch of 5G communication network,the establishment of higher quality and high efficiency wireless communication system relies on the accurate channel model in the signal propagation process.The accurate channel model helps to estimate the loss during signal propagation,and thus determines the transmission characteristics of the signal and calculates the effective coverage of the base station for cell design.The establishment of an accurate channel model is inseparable from the measurement of channel in the actual electromagnetic wave propagation environment and data analysis.The wireless channels for signal propagation can be divided into three categories:outdoor-to-indoor channels,indoor propagation channels,ancd outdoor propagation channels.The research content of this paper is to explore the characteristics of 021 signal propagation channels and indoor signal propagation channels,and the research of this paper is all based on the channel measurement in the actual environment.In the propagation model of signals,the outdoor-to-indoor(021)signal propagation loss model is one of the most important propagation models in 5G radio access networks.However,due to the large building penetration loss in 021 scenario,the data rates and quality of mobile communication are affected by the penetration loss.Thus,to fully study the channel model of 021 scenario requires a profound knowledge of the spatial 021 propagation characteristics.Since in the actual propagation environment,the building materials and structural are complex,the position of the receiving terminal relative to the base station is variable,and the frequency points used by the carriers are different.To gain further insights into variations of 021 penetration loss with material,frequency,and incidence angle,we present a series of 021 measurements in two different scenarios with 100 MHz Rohde&Schwarzis channel sounder.Furthermore,the impact of incident angle and carrier frequency which range from 2.55 to 28 GHz band are taken into account during the measurement campaigns.Then the measurement data is investigated and considering the impact of building material,frequency,and incidence angle on the penetration loss,a solid 021 building penetration loss model is proposed.Finally,the performance of the proposed model is validated by comparing to the penetration loss extracted from measured data.The simulation results show that the model we proposed can better describe the performance of building penetration loss analyzed from measured data than 3 GPP model.The model can well characterize the differences among the building 021 penetration loss of different building features,different vertical incidence angles and different center frequencies.Research on channel characteristics of indoor signal propagation will help to apply 5G technology to home surveillance and medical care in the future.At present,the world's population is getting older and more and more elderly people are living alone.This will place high demands on home care for the elderly.One of the main challenges of aged care is to detect the fall of the elderly in time.Driven by the above needs,it is necessary to develop non-wearable devices that can monitor the physical activities of the home user using radio waves reflected off the body.In order to distinguish different human indoor activities,measurement campaigns are performed at 3.5 GHz and 6 GHz using Elektrobit Propsound and multiple-input multiple-output(MIMO)antennas.The tester simulates four typical activity states indoor such as no people in room,slowly walking,falling and sitting to explore the influence of different human activities on the fixed-to-fixed(F2F)non-stationary channel.Then,the received signal is analyzed,and different human activity states are distinguished according to the obtained complex channel gain,instantaneous Doppler frequency and mean Doppler shift.Finally,by analyzing the channel parameters,the motion states of the four human bodies can be distinguished by the characteristics of three typical channel parameters.